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Objective:To investigate the genomic manifestation and pathogenesis of osteosarcoma with different relapse pattens, which were respectively initially presented with bone metastasis or pulmonary metastasis.Methods:From May 1, 2021 to October 1, 2021, 38 fresh tumor specimens and some paraffin-embedded specimens of high-grade osteosarcoma were collected in Peking University People's Hospital, including 29 males and 9 females, aged 19.6±2.2 years (range, 6-61 years). Among the 38 cases, 12 cases had initial bone metastasis (group A) and 26 cases had initial lung metastasis (group B), of which 15 cases (40%, 15/38) had paired specimens of primary and metastatic lesions. Based on Illumina NovaSeq 6000, we analyzed whole-exome sequencing (WES) as well as transcriptome for osteosarcoma with paired samples in different relapse patterns. During all their treatment courses, we also collected their paired samples to reveal these tumors' evolution. We sought to redefine disease subclassifications for osteosarcoma based on genetic alterations and correlate these genetic profiles with clinical treatment courses to elucidate potential evolving cladograms.Results:We found that osteosarcoma in group A mainly carried single-nucleotide variations (83%, 10/12), displaying higher tumor mutation burden [4.9 (2.8, 12.0) & 2.4 (1.4, 4.5), P=0.010] and neoantigen load [743.0 (316.5, 1,034.5) & 128.5 (49.0, 200.5), P=0.003], while those in group B mainly exhibit structural variants (58%, 15/26). The mutation spectrum showed that there was a significant difference in age-related gene imprinting 1 between the bone metastasis group and the lung metastasis group ( P=0.005). Samples were randomly selected from group A (3 patients) to investigate immunologic landscape by multiplex immunohistochemistry, from which we noticed tertiary lymphatic structure from one patient from group A. High conservation of reported genetic sequencing over time was found in their evolving cladograms. Conclusion:Osteosarcoma with mainly single-nucleotide variations other than structural variants might exhibit biological behavior predisposing toward bone metastases with older in age as well as better immunogenicity in tumor microenvironment.
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Objective:To investigate the effect of single nucleotide variation of osteoprotegerin (OPG) gene on the occurrence of osteoporosis (OP) in patients with gestational diabetes mellitus (GDM) .Methods:From Apr. 2018 to Apr. 2022, 276 pregnant women with GDM who underwent prenatal examination and gave birth in Linyi People’s Hospital were collected for analysis, general data were collected and bone mineral density was tested. According to the bone mineral density test results, they were divided into normal group and OP group. The OPG genotype was tested, and the general information, OPG genotype and allele frequency of the two groups were compared. The differences in bone mineral density among different genotypes of OPG were compared, and the genotypes affecting the risk of OP in GDM patients were analyzed.Results:There was no significant difference in the general data of the two groups of patients (all P>0.05). The allelic distribution of the rs3134069 and rs2073618 loci of the OPG gene in the two groups of patients conformed to the Hardy-Weinberg equilibrium law (all P>0.05). There was a statistically significant difference in the frequency of the AC genotype at rs3134069 between the two groups ( χ2=7.75, P=0.005). Taking patients with the AA genotype as a reference, patients with the AC genotype had a lower risk of developing OP ( OR=0.15, 95% CI: 0.03-0.59). There was a statistically significant difference in the frequency of CC genotype at rs2073618 between the two groups ( χ2=11.30, P=0.001). Taking patients with GG genotype as a reference, patients with CC genotype had a higher risk of developing OP ( OR=7.42, 95% CI: 2.19-27.18). Comparing rs3134069 and rs2073618 loci, there was no significant difference in bone mineral density at each part of the three genotypes (all P>0.05). The multivariate Logistic regression model showed that the AC genotype of rs3134069 ( OR=0.18, 95% CI: 0.03-0.70, P=0.029) was a protective factor for the induction of OP, while GC genotype of rs2073618 ( OR=6.86, 95% CI: 1.57-27.15, P=0.007) were the risk factors for OP in GDM patients. Conclusion:The CC genotype of rs2073618 is significantly positively correlated with the susceptibility to OP in GDM patients.
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Resumen Objetivo: Describir la asociación de las variantes en los genes que codifican por citocinas participantes en el proceso inflamatorio con la susceptibilidad y la gravedad clínica de las enfermedades. Métodos: Se realizó un estudio documental con revisión de literatura científica encontrada en las siguientes bases de datos: Pubmed, Science Direct, Scopus, Scielo, PLOS, Hinari, Redalyc, Dialnet, Taylor, ProQuest. Se revisaron 84 referencias relacionadas con artículos de investigación, revisiones sistemáticas y metaanálisis con los términos ''variante'', ''variante en un solo nucléotido'', ''polimorfismo de nucleótido único'', ''citocinas proinflamatorias'', ''citocinas antiinflamatorias'', ''interleucinas'', ''factor de necrosis tumoral'', ''susceptibilidad genética'', ''enfermedades'' y ''patologías''. Resultados: La evidencia señala que las variantes en un solo nucleótido se detectan principalmente en regiones promotoras de genes que codifican para citocinas reguladoras de procesos inflamatorios, como son: IL-1, IL-6, IL-8, IL-10, IL-12, IL-17, IL-18, IL-22 y el factor de necrosis tumoral. Conclusiones: La expresión y la producción diferencial de estas citocinas desempeñan un papel relevante en la patogenia y la predisposición a sufrir enfermedades, especialmente metabólicas, malignas, autoinmunes e infecciosas. Se mostró también un efecto diferencial de las variantes según las características étnicas, lo que resulta ser una herramienta eficaz en la medicina preventiva.
Abstract Aim: To describe the association of variations in cytokine genes that participate in the inflammatory process with the susceptibility and clinical severity of diseases. Methods: A documentary study was carried out with a review of the scientific literature of the database: Pubmed, Science Direct, Scopus, Scielo, PLOS, Hinari, Redalyc, Dialnet, Taylor, ProQuest. Eighty-four references were reviewed that included research articles, systematic reviews and meta-analyzes, using the terms ''Variants'', ''Single Nucleotide Variation'', ''Proinflammatory cytokines'', ''Anti-inflammatory cytokines'', ''Interleukins'', ''Tumor Necrosis Factor'', ''genetic susceptibility'', ''diseases'', pathologies''. Results: The evidence indicates that Single Nucleotide Variants are detected mainly in promoter regions of genes that code for cytokines that regulate inflammatory processes such as: IL-1, IL-6, IL-8, IL-10, IL-12, IL -17, IL-18, IL-22 and tumoral necrosis factor. Conclusions: The expression and differential production of these cytokines play a role in the pathogenesis and predisposition to diseases, especially metabolic, malignant, autoimmune, and infectious. A differential effect of variants according to ethnic characteristics is also observed, which turns out to be an effective tool to be used in preventive medicine.
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Cytokines/analysis , Interleukins , Lymphotoxin-alpha , Polymorphism, Single NucleotideABSTRACT
Background & objectives: Duchenne muscular dystrophy (DMD) is an X-linked recessive disorder and is caused mainly by deletion, duplication and point mutations in the DMD gene. Diagnosis of DMD has been a challenge as the mutations in the DMD gene are heterogeneous and require more than one diagnostic strategy for the validation of the mutation. This study was planned to evaluate the targeted next-generation sequencing (NGS) as a single platform to detect all types of mutations in the DMD gene, thereby reducing the time and costs compared to conventional sequential testing and also provide precise genetic information for emerging gene therapies. Methods: The study included 20 unrelated families and 22 patients from an Indian population who were screened for DMD based on phenotypes such as scoliosis, toe walking and loss of ambulation. Peripheral blood DNA was isolated and subjected to multiplex ligation-dependent probe amplification (MLPA) and targeted NGS of the DMD gene to identify the nature of the mutation. Results: In the study patients, 77 per cent of large deletion mutations and 23 per cent single-nucleotide variations (SNVs) were identified. Novel mutations were also identified along with reported deletions, point mutations and partial deletions within the exon of the DMD gene. Interpretation & conclusions: Our findings showed the importance of NGS in the routine diagnostic practice in the identification of DMD mutations over sequential testing. It may be used as a single-point diagnostic strategy irrespective of the mutation type, thereby reducing the turnaround time and cost for multiple diagnostic tests such as MLPA and Sanger sequencing. Though MLPA is a sensitive technique and is the first line of a diagnostic test, the targeted NGS of the DMD gene may have an advantage of having a single diagnostic test. A study on a larger number of patients is needed to highlight NGS as a single, comprehensive platform for the diagnosis of DMD.